"Notion - Productivity and Note-Taking App" matching MCP servers:

Enables app intelligence across Google Play and the Apple App Store, including details, reviews, and search via a unified API.

Automates research workflows by collecting, summarizing, and categorizing AI technology documents directly into Notion. It uses OpenAI GPT for Vietnamese summarization and automatic tagging of topics like RAG, LangGraph, and MCP.

Free App Store competitive intelligence for Claude — rival downloads, revenue, and ASO keywords. MCP server, no subscription.

Enables AI hosts to query App Store download trends, growth percentages, and live top charts, along with 30+ other trend data sources, through MCP.

Heimdall — MCP server for the Apple App Store Connect API & App Store Server API (StoreKit 2). 982 tools generated from Apple's official OpenAPI spec. Client-agnostic: Claude, Codex, Cursor, and any MCP client.

Enables querying live and historical market data, including stock quotes, option chains, option quotes with greeks, and OHLCV candles, via the Market Data App API.

Enables AI assistants to query the FoxData API for iOS and Google Play app analytics, including downloads, revenue, rankings, keywords, competitor insights, and ad data across 200+ countries. Supports natural-language requests to retrieve app intelligence and market data.

MCP server for a VEDA STAC catalog, providing a tool to call and interactive React UI to view STAC collections.

Gives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.

Mogut — open-source, read-only MCP server for Apple App Store ASO and growth intelligence: keyword research, competitor analysis, review mining, pricing, localization, and reports.

An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.

An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.

Self-hosted MCP server for app market intelligence, enabling tools to query app download/revenue estimates, ad intensity proxies, creator mentions, and rank history from local collected data.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

Enables AI assistants to perform structured decision-making using the Analytic Hierarchy Process (AHP), allowing users to define criteria, compare options pairwise, and calculate ranked results with consistency validation.

Enables turning a research topic keyword or OpenAlex topic ID into ranked institutions and authors, including identifiers, citation metrics, h-index, and newest papers, with optional filters for year, country, and institution type. It runs the analysis on Apify and returns dataset rows to MCP clients.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Enables MCP clients like Claude to subscribe to RSS/Atom feeds, list feeds with unread counts, fetch and search new items, and mark items as read, all scoped to the authenticated user's account.

Gives AI agents 13 data tools covering package and repo health, browser and mobile app-store listings, DOI and FDA recall lookups, iCal feeds, Shopify products, and Hacker News and Stack Exchange search. Each call runs a backer's Actor under your own Apify token, so usage is billed to your account.

Enables researchers to turn property-history questions into reviewable evidence dossiers by gathering sources, tracing people and places, linking conclusions to supporting or opposing passages, and exporting portable backups.

Enables AI agents to search and monitor news coverage, fetch article metadata, explore curated source packs, and save links to hamir with notes.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

Enables MCP clients to maintain a persistent Markdown knowledge base by ingesting sources, searching and reading notes, and creating or updating wiki pages with optimistic locking.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%

Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.

Enables Codex to control a Gephi 3D network view through natural language, including network generation, 3D layout, node focus and neighbor highlighting, layered views, and PNG/PDF export.

Exposes roughly forty tools over streamable HTTP so AI assistants can search an archive of sourced evidence, time series, forecasts, slides and datasets, reuse existing material with its citations, and write new sourced findings back. It also covers slide and deck management, feedback, photo and dataset access.

Provides access to official 2022 French presidential election programs for five parties, retrieving exact passages with full references and without synthesis.

An industry benchmarking tool that enables users to compare company metrics like revenue and profit against industry averages using interactive visual charts. It supports both Claude and ChatGPT across multiple transport protocols including SSE and Streamable HTTP.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

Provides protocol-neutral market intelligence for the AI agent economy, with read-only tools to search agents, retrieve details and histories, compare agents, list categories, view category rankings, and access methodology.